The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-11"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "7514481 (up from 7360239 yesterday: 2.1 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "421458 (up from 416201 yesterday: 1.26 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.61



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2023347 22883 1.14 113820 896 0.79 5.63
Brazil 802828 30412 3.94 40919 1239 3.12 5.10
Russia 501800 8777 1.78 6522 172 2.71 1.30
India 297535 20952 7.58 8498 753 9.72 2.86
United Kingdom 292860 1272 0.44 41364 151 0.37 14.12
Spain 242707 427 0.18 27136 0 0.00 11.18
Italy 236142 379 0.16 34167 53 0.16 14.47
Peru 214788 5965 2.86 6088 185 3.13 2.83
France 192493 425 0.22 29349 27 0.09 15.25
Germany 186691 169 0.09 8772 20 0.23 4.70
Iran 180156 2218 1.25 8584 78 0.92 4.76
Turkey 174023 987 0.57 4763 17 0.36 2.74
Chile 154092 5636 3.80 2648 173 6.99 1.72
Mexico 133974 4790 3.71 15944 587 3.82 11.90
Pakistan 125933 12231 10.76 2463 208 9.22 1.96
Saudi Arabia 116021 3733 3.32 857 38 4.64 0.74
Canada 99159 439 0.44 8071 33 0.41 8.14
China 84216 7 0.01 4638 0 0.00 5.51
Bangladesh 78052 3187 4.26 1049 37 3.66 1.34
Qatar 75071 1476 2.01 69 3 4.55 0.09
Belgium 59711 142 0.24 9636 7 0.07 16.14
South Africa 58568 3147 5.68 1284 74 6.12 2.19
Belarus 51816 750 1.47 293 5 1.74 0.57
Netherlands 48458 164 0.34 6063 2 0.03 12.51
Sweden 48288 1474 3.15 4814 19 0.40 9.97
Ecuador 44440 0 0.00 3720 0 0.00 8.37
Colombia 43810 1604 3.80 1505 66 4.59 3.44
United Arab Emirates 40986 479 1.18 286 2 0.70 0.70
Egypt 39726 1442 3.77 1377 35 2.61 3.47
Singapore 39387 422 1.08 25 0 0.00 0.06
Portugal 35910 310 0.87 1504 7 0.47 4.19
Indonesia 35295 979 2.85 2000 41 2.09 5.67
Kuwait 34432 609 1.80 279 4 1.45 0.81
Switzerland 31044 33 0.11 1937 1 0.05 6.24
Ukraine 29706 691 2.38 864 23 2.73 2.91
Poland 28201 359 1.29 1215 9 0.75 4.31
Argentina 27373 1386 5.33 765 30 4.08 2.79
Ireland 25238 7 0.03 1703 8 0.47 6.75
Philippines 24175 443 1.87 1036 9 0.88 4.29
Afghanistan 22890 748 3.38 426 21 5.19 1.86
Dominican Republic 21437 629 3.02 561 11 2.00 2.62
Romania 21182 237 1.13 1369 9 0.66 6.46
Oman 19954 1067 5.65 89 5 5.95 0.45
Panama 18586 697 3.90 418 5 1.21 2.25
Israel 18569 214 1.17 300 1 0.33 1.62
Japan 17187 41 0.24 922 0 0.00 5.36
Austria 17034 29 0.17 674 1 0.15 3.96
Iraq 16675 1261 8.18 457 31 7.28 2.74
Bahrain 16667 467 2.88 34 3 9.68 0.20
Bolivia 16165 884 5.78 533 21 4.10 3.30
Armenia 14669 566 4.01 245 18 7.93 1.67
Nigeria 14554 681 4.91 387 5 1.31 2.66
Kazakhstan 13872 553 4.15 67 0 0.00 0.48
Denmark 12235 19 0.16 593 0 0.00 4.85
Serbia 12102 71 0.59 252 1 0.40 2.08
Korea, South 12003 56 0.47 277 1 0.36 2.31
Moldova 10727 406 3.93 375 4 1.08 3.50
Algeria 10589 105 1.00 741 9 1.23 7.00
Ghana 10358 157 1.54 48 0 0.00 0.46
Czechia 9855 31 0.32 328 -2 -0.61 3.33
Azerbaijan 8882 352 4.13 108 6 5.88 1.22
Cameroon 8681 0 0.00 212 0 0.00 2.44
Norway 8608 14 0.16 242 3 1.26 2.81
Guatemala 8561 340 4.14 334 18 5.70 3.90
Morocco 8537 29 0.34 211 0 0.00 2.47
Malaysia 8369 31 0.37 118 0 0.00 1.41
Honduras 7669 309 4.20 294 4 1.38 3.83
Australia 7289 4 0.05 102 0 0.00 1.40
Finland 7064 24 0.34 325 1 0.31 4.60
Sudan 6730 148 2.25 413 12 2.99 6.14

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 380892 736 0.19 30580 38 0.12 8.03 19579.55 1571.95 1 in 51
New Jersey 165816 470 0.28 12443 66 0.53 7.50 18668.37 1400.89 1 in 54
California 143377 3662 2.62 4934 80 1.65 3.44 3628.67 124.87 1 in 276
Illinois 130603 766 0.59 6185 90 1.48 4.74 10306.57 488.09 1 in 97
Massachusetts 104667 511 0.49 7492 38 0.51 7.16 15061.08 1078.06 1 in 66
Texas 82658 1881 2.33 1930 25 1.31 2.33 2850.68 66.56 1 in 351
Pennsylvania 81848 532 0.65 6113 51 0.84 7.47 6393.38 477.50 1 in 156
Florida 69069 1698 2.52 2848 47 1.68 4.12 3215.84 132.60 1 in 311
Michigan 65449 267 0.41 5985 30 0.50 9.14 6553.51 599.29 1 in 153
Maryland 60197 732 1.23 2875 31 1.09 4.78 9957.03 475.55 1 in 100
Georgia 54973 993 1.84 2375 46 1.98 4.32 5177.62 223.69 1 in 193
Virginia 52647 470 0.90 1520 6 0.40 2.89 6167.99 178.08 1 in 162
Louisiana 44472 442 1.00 2987 19 0.64 6.72 9566.35 642.53 1 in 105
Connecticut 44461 114 0.26 4146 26 0.63 9.33 12470.52 1162.88 1 in 80
Ohio 40004 429 1.08 2492 33 1.34 6.23 3422.33 213.19 1 in 292
North Carolina 39584 1111 2.89 1106 16 1.47 2.79 3774.19 105.45 1 in 265
Indiana 38748 411 1.07 2380 25 1.06 6.14 5755.61 353.52 1 in 174
Arizona 31267 1415 4.74 1135 34 3.09 3.63 4106.03 149.05 1 in 244
Minnesota 29316 447 1.55 1280 13 1.03 4.37 5198.21 226.97 1 in 192
Colorado 28632 148 0.52 1582 10 0.64 5.53 4971.92 274.71 1 in 201
Tennessee 28340 410 1.47 441 4 0.92 1.56 4147.41 64.54 1 in 241
Washington 24779 425 1.75 1194 18 1.53 4.82 3254.02 156.80 1 in 307
Iowa 22973 347 1.53 640 9 1.43 2.79 7281.30 202.85 1 in 137
Alabama 22845 856 3.89 755 11 1.48 3.30 4659.22 153.98 1 in 215
Wisconsin 21926 333 1.54 682 11 1.64 3.11 3765.78 117.13 1 in 266
Mississippi 18483 0 0.00 868 0 0.00 4.70 6210.37 291.65 1 in 161
South Carolina 16441 682 4.33 588 13 2.26 3.58 3193.22 114.20 1 in 313
Nebraska 16315 257 1.60 212 21 10.99 1.30 8434.10 109.59 1 in 119
Rhode Island 15862 106 0.67 823 11 1.35 5.19 14973.18 776.88 1 in 67
Missouri 15699 187 1.21 862 11 1.29 5.49 2557.91 140.45 1 in 391
Utah 13252 388 3.02 131 3 2.34 0.99 4133.55 40.86 1 in 242
Kentucky 11945 62 0.52 493 9 1.86 4.13 2673.65 110.35 1 in 374
Kansas 10823 73 0.68 243 3 1.25 2.25 3715.01 83.41 1 in 269
Arkansas 10816 448 4.32 171 6 3.64 1.58 3584.04 56.66 1 in 279
Nevada 10473 255 2.50 459 10 2.23 4.38 3400.15 149.02 1 in 294
Delaware 10106 50 0.50 414 1 0.24 4.10 10378.28 425.15 1 in 96
District of Columbia 9589 52 0.55 502 3 0.60 5.24 13586.98 711.30 1 in 74
New Mexico 9367 117 1.26 420 10 2.44 4.48 4467.22 200.30 1 in 224
Oklahoma 7626 143 1.91 358 2 0.56 4.69 1927.23 90.47 1 in 519
South Dakota 5665 61 1.09 73 4 5.80 1.29 6403.60 82.52 1 in 156
Puerto Rico 5352 23 0.43 144 1 0.70 2.69 1675.80 45.09 1 in 597
Oregon 5237 177 3.50 171 2 1.18 3.27 1241.66 40.54 1 in 805
New Hampshire 5209 31 0.60 308 7 2.33 5.91 3830.96 226.52 1 in 261
Idaho 3260 0 0.00 85 0 0.00 2.61 1819.13 47.43 1 in 550
North Dakota 2980 39 1.33 74 1 1.37 2.48 3910.44 97.10 1 in 256
Maine 2667 30 1.14 100 0 0.00 3.75 1984.06 74.39 1 in 504
West Virginia 2217 23 1.05 86 1 1.18 3.88 1240.52 48.12 1 in 806
Vermont 1110 15 1.37 55 0 0.00 4.95 1778.88 88.14 1 in 562
Wyoming 1009 29 2.96 18 0 0.00 1.78 1743.39 31.10 1 in 574
Hawaii 692 7 1.02 17 0 0.00 2.46 488.74 12.01 1 in 2046
Alaska 609 17 2.87 11 0 0.00 1.81 832.48 15.04 1 in 1201
Montana 563 2 0.36 18 0 0.00 3.20 526.77 16.84 1 in 1898

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 2729005 380892 13.96 140283.06
New Jersey 1030793 165816 16.09 116051.67
California 2597647 143377 5.52 65742.87
Illinois 1123051 130603 11.63 88625.86
Massachusetts 683088 104667 15.32 98293.07
Texas 1206320 82658 6.85 41603.15
Pennsylvania 554372 81848 14.76 43303.58
Florida 1306748 69069 5.29 60841.98
Michigan 770520 65449 8.49 77153.40
Maryland 392370 60197 15.34 64900.89
Georgia 584241 54973 9.41 55026.63
Virginia 407397 52647 12.92 47729.61
Louisiana 469673 44472 9.47 101031.15
Connecticut 321948 44461 13.81 90300.72
Ohio 512583 40004 7.80 43851.37
North Carolina 572677 39584 6.91 54602.63
Indiana 327342 38748 11.84 48623.20
Arizona 309582 31267 10.10 40654.81
Minnesota 381841 29316 7.68 67706.72
Colorado 230345 28632 12.43 39999.23
Tennessee 535294 28340 5.29 78337.53
Washington 415342 24779 5.97 54543.38
Iowa 208539 22973 11.02 66096.47
Alabama 278826 22845 8.19 56866.30
Wisconsin 387980 21926 5.65 66635.36
Mississippi 213885 18483 8.64 71866.36
South Carolina 230057 16441 7.15 44682.42
Nebraska 127662 16315 12.78 65995.38
Rhode Island 187803 15862 8.45 177279.51
Missouri 259040 15699 6.06 42206.61
Utah 254668 13252 5.20 79435.85
Kentucky 281094 11945 4.25 62917.32
Kansas 123742 10823 8.75 42474.65
Arkansas 176665 10816 6.12 58540.51
Nevada 193254 10473 5.42 62741.63
Delaware 74033 10106 13.65 76027.66
District of Columbia 59288 9589 16.17 84007.20
New Mexico 245557 9367 3.81 117108.74
Oklahoma 241445 7626 3.16 61017.63
South Dakota 61744 5665 9.17 69794.12
Puerto Rico 5352 5352 100.00 1675.80
Oregon 161804 5237 3.24 38362.75
New Hampshire 89907 5209 5.79 66122.14
Idaho 60115 3260 5.42 33545.10
North Dakota 82788 2980 3.60 108636.83
Maine 65457 2667 4.07 48695.44
West Virginia 121120 2217 1.83 67772.82
Vermont 47209 1110 2.35 75656.78
Wyoming 31618 1009 3.19 54630.68
Hawaii 57295 692 1.21 40466.23
Alaska 69011 609 0.88 94335.96
Montana 55777 563 1.01 52187.64

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 97648 3607 3.84 46078 47.19 47980 3590 152 4.42 3.68
Tamil Nadu 38716 1875 5.09 20705 53.48 17662 349 23 7.06 0.90
Delhi 34687 1877 5.72 12731 36.70 20871 1085 101 10.26 3.13
Gujarat 22067 513 2.38 15109 68.47 5573 1385 38 2.82 6.28
Uttar Pradesh 12088 478 4.12 7292 60.32 4451 345 24 7.48 2.85
Rajasthan 11838 238 2.05 8775 74.13 2798 265 6 2.32 2.24
Madhya Pradesh 10241 192 1.91 7042 68.76 2768 431 4 0.94 4.21
West Bengal 9768 440 4.72 3988 40.83 5338 442 10 2.31 4.52
State Unassigned 8315 -912 -9.88 0 0.00 8315 0 0 NaN 0.00
Karnataka 6245 204 3.38 2976 47.65 3195 72 3 4.35 1.15
Haryana 5968 389 6.97 2261 37.89 3643 64 12 23.08 1.07
Bihar 5948 250 4.39 3086 51.88 2828 34 0 0.00 0.57
Andhra Pradesh 5429 182 3.47 2968 54.67 2381 80 2 2.56 1.47
Jammu and Kashmir 4574 67 1.49 1820 39.79 2702 52 1 1.96 1.14
Telangana 4320 209 5.08 1993 46.13 2162 165 9 5.77 3.82
Assam 3431 145 4.41 1433 41.77 1989 6 1 20.00 0.17
Odisha 3386 136 4.18 2354 69.52 1020 12 1 9.09 0.35
Punjab 2887 82 2.92 2259 78.25 569 59 4 7.27 2.04
Kerala 2245 83 3.84 967 43.07 1259 19 1 5.56 0.85
Uttarakhand 1655 93 5.95 886 53.53 746 16 1 6.67 0.97
Jharkhand 1599 48 3.09 630 39.40 961 8 0 0.00 0.50
Chhattisgarh 1398 136 10.78 421 30.11 971 6 0 0.00 0.43
Tripura 915 18 2.01 278 30.38 636 1 0 0.00 0.11
Himachal Pradesh 470 19 4.21 276 58.72 184 7 0 0.00 1.49
Goa 417 30 7.75 67 16.07 350 0 0 NaN 0.00
Manipur 366 55 17.68 73 19.95 293 0 0 NaN 0.00
Chandigarh 332 4 1.22 293 88.25 34 5 0 0.00 1.51
Puducherry 157 13 9.03 67 42.68 88 2 2 Inf 1.27
Nagaland 156 26 20.00 30 19.23 126 0 0 NaN 0.00
Ladakh 135 20 17.39 54 40.00 80 1 0 0.00 0.74
Mizoram 104 2 1.96 1 0.96 103 0 0 NaN 0.00
Arunachal Pradesh 67 6 9.84 4 5.97 63 0 0 NaN 0.00
Meghalaya 44 0 0.00 18 40.91 25 1 0 0.00 2.27
Andaman and Nicobar Islands 38 3 8.57 33 86.84 5 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 30 3 11.11 2 6.67 28 0 0 NaN 0.00
Sikkim 27 14 107.69 3 11.11 24 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 858994 90932 252 0.28 10.59 2488 97 17340 16374 18.01
Piemonte 357957 30958 42 0.14 8.65 544 33 3183 3988 12.88
Emilia-Romagna 385220 27995 25 0.09 7.27 216 18 2000 4192 14.97
Veneto 780445 19199 5 0.03 2.46 52 0 922 1964 10.23
Toscana 283638 10158 10 0.10 3.58 42 15 521 1079 10.62
Liguria 122654 9864 10 0.10 8.04 107 3 250 1514 15.35
Lazio 287888 7889 20 0.25 2.74 320 46 2517 776 9.84
Marche 117720 6751 1 0.01 5.73 26 0 902 992 14.69
Campania 226823 4837 3 0.06 2.13 74 2 610 430 8.89
Puglia 141322 4513 1 0.02 3.19 65 3 467 530 11.74
P.A. Trento 98969 4441 2 0.05 4.49 5 1 71 464 10.45
Sicilia 174429 3455 0 0.00 1.98 37 5 849 279 8.08
Friuli Venezia Giulia 153763 3287 1 0.03 2.14 22 0 112 342 10.40
Abruzzo 87566 3267 1 0.03 3.73 81 5 539 453 13.87
P.A. Bolzano 74106 2606 2 0.08 3.52 8 2 99 292 11.20
Umbria 79234 1436 0 0.00 1.81 11 2 26 76 5.29
Sardegna 66133 1362 1 0.07 2.06 10 1 43 131 9.62
Valle d’Aosta 16268 1191 0 0.00 7.32 6 0 6 144 12.09
Calabria 79025 1161 2 0.17 1.47 16 1 52 97 8.35
Molise 17710 439 0 0.00 2.48 1 1 116 23 5.24
Basilicata 33957 401 1 0.25 1.18 0 1 12 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 53485 144 0.27 5105 24 0.47 9.54 6264.59 597.94 1 in 160
Ontario 33173 237 0.72 2563 11 0.43 7.73 2254.85 174.21 1 in 443
Alberta 7316 40 0.55 149 -2 -1.32 2.04 1657.77 33.76 1 in 603
British Columbia 2694 14 0.52 167 0 0.00 6.20 527.11 32.68 1 in 1897
Nova Scotia 1061 0 0.00 62 0 0.00 5.84 1085.47 63.43 1 in 921
Saskatchewan 660 2 0.30 13 0 0.00 1.97 558.53 11.00 1 in 1790
Manitoba 300 0 0.00 7 0 0.00 2.33 217.78 5.08 1 in 4592
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 153 2 1.32 1 0 0.00 0.65 196.16 1.28 1 in 5098
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1607 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1107 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Shanghai 689 7 1.02
Jiangsu 653 0 0.00
Beijing 595 9 1.51
Sichuan 582 3 0.52
Chongqing 579 6 1.04
Fujian 361 1 0.28
Hebei 328 6 1.83
Shaanxi 311 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 237 1 0.42
Shanxi 198 0 0.00
Tianjin 195 3 1.54
Yunnan 185 2 1.08
Hainan 170 6 3.53
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 6183.82 347.86 1 in 162
Brazil 3835.78 195.50 1 in 261
Russia 3472.66 45.13 1 in 288
India 222.21 6.35 1 in 4500
United Kingdom 4407.89 622.58 1 in 227
Spain 5201.61 581.57 1 in 192
Italy 3904.46 564.93 1 in 256
Peru 6676.66 189.24 1 in 150
France 2873.46 438.11 1 in 348
Germany 2254.99 105.95 1 in 443
Iran 2219.76 105.77 1 in 450
Turkey 2153.48 58.94 1 in 464
Chile 8536.95 146.70 1 in 117
Mexico 1036.95 123.41 1 in 964
Pakistan 639.25 12.50 1 in 1564
Saudi Arabia 3522.19 26.02 1 in 284
Canada 2637.91 214.71 1 in 379
China 60.76 3.35 1 in 16458
Bangladesh NA NA 1 in NA
Qatar 28446.76 26.15 1 in 35

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 208517 21993 10.55
Cook Illinois 83978 4111 4.90
Los Angeles California 68959 2818 4.09
Nassau New York 41060 2151 5.24
Suffolk New York 40512 1945 4.80
Westchester New York 34106 1400 4.10
Philadelphia Pennsylvania 24107 1471 6.10
Middlesex Massachusetts 22996 1733 7.54
Wayne Michigan 21629 2664 12.32
Miami-Dade Florida 20548 798 3.88
Suffolk Massachusetts 19195 938 4.89
Hudson New Jersey 19066 1242 6.51
Bergen New Jersey 18719 1646 8.79
Essex New Jersey 18234 1723 9.45
Prince George’s Maryland 16940 620 3.66
Passaic New Jersey 16555 984 5.94
Union New Jersey 16337 1104 6.76
Middlesex New Jersey 16327 1069 6.55
Fairfield Connecticut 16155 1333 8.25
Maricopa Arizona 16018 532 3.32
Harris Texas 15864 267 1.68
Essex Massachusetts 15465 1031 6.67
Rockland New York 13385 661 4.94
Montgomery Maryland 13276 674 5.08
Dallas Texas 13257 277 2.09
Fairfax Virginia 12812 418 3.26
Providence Rhode Island 11959 0 0.00
New Haven Connecticut 11930 1031 8.64
Worcester Massachusetts 11885 849 7.14
Oakland Michigan 11283 1061 9.40
Hartford Connecticut 10967 1308 11.93
Orange New York 10550 467 4.43
Marion Indiana 10492 643 6.13
Riverside California 10240 377 3.68
Hennepin Minnesota 9815 700 7.13
District of Columbia District of Columbia 9589 502 5.24
Milwaukee Wisconsin 9220 346 3.75
Ocean New Jersey 9166 803 8.76
San Diego California 8998 308 3.42
Lake Illinois 8934 367 4.11
Norfolk Massachusetts 8809 876 9.94
Monmouth New Jersey 8627 661 7.66
King Washington 8550 583 6.82
Plymouth Massachusetts 8440 612 7.25
Broward Florida 8337 351 4.21
DuPage Illinois 8311 425 5.11
Clark Nevada 8100 375 4.63
Jefferson Louisiana 8032 464 5.78
Orange California 7987 202 2.53
Palm Beach Florida 7887 407 5.16

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc